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Youyang Sha

2 accepted papers

2026

A Closer Look at Cross-Domain Few-Shot Object Detection: Fine-Tuning Matters and Parallel Decoder Helps

CVPR 2026

Few-shot object detection (FSOD) is challenging due to unstable optimization and limited generalization arising from the scarcity of training samples. To address these issues, we propose a hybrid ensemble decoder that enhances generalization during fine-tuning. Inspired by ensemble learning, the dec

Cited by 1SourcecodeScholar
2026

FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and Graph Diffusion

ICLR 2026poster

In this paper, we present FSOD-VFM: Few-Shot Object Detectors with Vision Foundation Models, a framework that leverages vision foundation models to tackle the challenge of few-shot object detection. FSOD-VFM integrates three key components: a universal proposal network (UPN) for category-agnostic bo…

Cited by 0SourcecodeScholar